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Data Science and Artificial Intelligence [electronic resource] : First International Conference, DSAI 2023, Bangkok, Thailand, November 27–29, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Communications in Computer and Information Science ; 1942Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XXIII, 362 p. 121 illus., 91 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789819979691
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Foundations of Data Science and AI -- Data Mining and Machine Learning -- Deep Learning -- Image Analysis and Object Recognition -- Large Language Models -- Data Science and AI in Healthcare -- AI and Creativity -- Data Science and AI in Education. .
In: Springer Nature eBookSummary: This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.
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Foundations of Data Science and AI -- Data Mining and Machine Learning -- Deep Learning -- Image Analysis and Object Recognition -- Large Language Models -- Data Science and AI in Healthcare -- AI and Creativity -- Data Science and AI in Education. .

This book constitutes the proceedings of the First International Conference, DSAI 2023, held in Bangkok, Thailand, during November 27–30, 2023. The 22 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions. This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.

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